Polars Alternatives
Similar projects and alternatives to polars
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Apache Arrow
Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing
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vaex
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualize and explore big tabular data at a billion rows per second 🚀
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Scout APM
Scout APM: A developer's best friend. Try free for 14-days. Scout APM uses tracing logic that ties bottlenecks to source code so you know the exact line of code causing performance issues and can get back to building a great product faster.
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not-yet-awesome-rust
A curated list of Rust code and resources that do NOT exist yet, but would be beneficial to the Rust community.
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plotters
A rust drawing library for high quality data plotting for both WASM and native, statically and realtimely 🦀 📈🚀
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tokio-tungstenite
Tokio binding for Tungstenite, the Lightweight stream-based WebSocket implementation
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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better polars alternative or higher similarity.
Reviews and mentions
Posts with mentions or reviews of polars.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-11-24.
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Rust and what it needs to gain space in computation-oriented applications
You should check out polars, datafusion, influxdb iox and databend, all written in native Rust and powered by the Apache Arrow format. Polars in particular is pretty dam fast and has bindings for Python.
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How to pass dataframes between Rust and Python?
A solution for either Polars or Datafusion (or something else?) would be fine. For both libraries, python packages exist, that contain the python bindings: https://github.com/pola-rs/polars/tree/master/py-polars https://github.com/apache/arrow-datafusion/tree/master/python
It's working for me now. :-) To get it working, I used the code from the suggested directory as well as the class PyPolarsError, which I copied into a local module: https://github.com/pola-rs/polars/tree/master/py-polars/src/arrow_interop https://github.com/pola-rs/polars/blob/629f5012bcefaa3c9a9c1a236e64dc057e8d472c/py-polars/src/error.rs Besides the polars dependency, also these are needed:
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Introducing tidypolars - a Python data frame package with syntax familiar to R tidyverse users
The biggest difference with this one is that it's built on top of the polars package, which is probably the fastest data frame manipulation library out there. All of the other dplyr-to-python packages are build on top of pandas (which is very slow in comparison).
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Introducing tidypolars - a Python data frame package for R tidyverse users
tidypolars uses the polars package as a backend, which might be the fastest data frame manipulation library out there. (Faster even than R's data.table, which has been the king of speed for many years.)
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Python and ETL
Shameless plug. But I genuinely believe polars is the best tool for the job if performance, schema validity and RAM usage is important to you. Dependent on your machine Its performance is 2x-70x times pandas. It uses arrow memory and thus has proper null handling, has query optimization, a lot of parallelization, insanely fast csv-parser and utilizes much less RAM then pandas.
- Show HN: Dataframes in Elixir Backed by Rust
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Discussion: Integrating polars and plotters
For those who do not know about them, polars is a data frame crate for Rust and Python. It is also the fastest data frame library, according to benchmarks. Plotters is a crate for data visualisation. Both are the equivalents of pandas and matplotlib from the Python ecosystem. However, the integration with matplotlib in pandas has no equivalent. I would like to propose an effort to integrate polars with plotters, either by modifying the existing codebases, or creating a new bridge crate. I would love to hear opinions about this from the widder community.
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[N] Python Polars release v0.10.0
Happy to announce a new release of polars.
- How can one make Rust excel in the Sciences
- Polars: Fast multi-threaded DataFrame library in Rust and Python
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Data applications in Rust
There is great stuff for raw computation like polar for dataframes , Jupyter notebooks work with rust now and there is excellent tooling for pretty printing and querying different data formats, but you need to stich this all together. Unix style data piping between multiple of your own programs is a joy in Rust.
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[S] I want to introduce C++ DataFrame
Okay now compare it to polars! (I'm genuinely interested how a Rust implementation compares to C++)
Stats
Basic polars repo stats
33
3,255
9.9
5 days ago
ritchie46/polars is an open source project licensed under MIT License which is an OSI approved license.
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